AI, Data, CRM & Customer Insights

• Translate customer data and analytics into measurable marketing and CRM outcomes
• Embed predictive intelligence into campaign, retention, and acquisition strategies
• Align insight teams with revenue, performance, and lifetime value objectives
• Operationalize next-best-action frameworks across channels
• Demonstrate how customer intelligence drives sustainable business growth

AI has moved audience understanding to the center of the business, and researchers have more tools than ever, of wildly varying quality. We look at 10 trends reshaping insights, and makes the case for why the expert who can judge and orchestrate them matters more than ever.

During this session, attendees will learn:

● The four signals that predict AI citability
● Why the SEO foundation you’ve already built is an asset, and where AI search raises the bar
● What aspects of a site actually matter when it comes to being cited

• How data and AI are helping brands understand perception, equity, and mental availability
• Identifying shifts in consumer behaviour and brand preference through connected insights
• Linking brand investment to commercial performance and long-term growth
• Balancing measurement, trust, and responsible use of consumer data
• Bringing together insights, strategy, and creative teams to drive stronger brand decisions

• How AI and predictive analytics are transforming consumer insights and innovation
• Turning behavioural, commerce, and customer data into faster, smarter decision-making
• The rise of the digital shelf and its impact on brand visibility, engagement, and conversion
• Balancing AI-powered intelligence with human creativity to build stronger customer experiences
• Lessons from scaling AI-enabled insight capabilities inside a global enterprise

A live demo showing how to find your audience in the AI era and turn first-time visitors into brand lovers.

• Understand how AI assistants and agents are discovering your content, and what that attention means for traffic and referrals
• See how to turn your analytics data into a targeted re-engagement campaign
• Take away a workflow for deepening relationships from first visit to loyal customer

Most marketing teams are sitting on more customer data than they have ever had. Purchase history, loyalty status, behavioral signals, real-time account data. And yet the most common form of “personalization” in lifecycle marketing is still a first name in a subject line.

The problem is not a lack of data. It is a gap between what brands know and what they actually communicate. Teams are overwhelmed by the volume of data available to them, unsure how to translate it into content that feels relevant rather than generic, and defaulting to surface-level tactics that customers have long since learned to ignore.

Hi {first_name} is not personalization. It is the minimum viable effort. And in 2026, customers can tell the difference.

This session makes the case for contextual relevance as the true north of lifecycle marketing, and shows what it looks like when brands actually use the data they already have.

Attendees will leave with:

• A clearer understanding of why data volume alone does not produce personalization, and what the missing layer actually is
• A framework for moving from demographic segmentation to contextual, moment-level relevance across lifecycle touchpoints
• Real examples of brands that translated idle CRM data into measurable lifts in engagement, conversion, and retention
• Practical guidance on identifying which data points in their existing stack are underused and highest-impact
• A forward-looking view of where AI and lifecycle marketing converge when content finally catches up to the data behind it

• Review how unified first-party data, AI models, and customer intelligence are redefining CRM personalisation
• Explore how predictive and generative analytics translate customer insights into acquisition, retention, and loyalty strategies
• Examine how real-time data activation enables next-best-action and cross-channel journey orchestration
• Understand how brands balance automation with human governance, transparency, and trust
• Assess how insight-driven CRM drives lifetime value, retention, and sustainable growth

• Strengthening data accuracy, compliance, and governance frameworks
• Turning data into insight responsibly, and with privacy built in
• Managing AI transparency and explainability in decision-making systems
• Protecting customer and brand trust while enabling personalization at scale
• Creating sustainable, responsible data practices for long-term growth

• How unified customer data transforms marketing, CRM, and customer intelligence strategies
• What it takes to break down silos across marketing, sales, service, and commerce teams
• Where real-time analytics drives faster, smarter decision-making
• Why data quality, governance, and trust matter more than ever in connected ecosystems
• How connected intelligence translates into measurable business growth